A closed-form approximate incoherent GN-model supporting MCI contributions

Zefreh, Mahdi Ranjbar; Poggiolini, Pierluigi

doi:10.48550/arxiv.1911.03321

Cited by 2 publications

(4 citation statements)

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“…On this topic substantial research is being done by other groups as well ( [11], [22]), in view of the possible widespread upgrade of the existing network from C to C+L as currently installed capacity is gradually exhausted. On the other hand, another effort is ongoing towards validating a CFM extension proposed in [21] which improves accuracy at low and near-zero dispersion. This effort aims at covering those links where legacy fibers are still found, whose dispersion is very low or even have an in-band dispersion-zero.…”

Section: Ongoing Researchmentioning

confidence: 99%

Accurate Closed-Form Real-Time EGN Model Formula Leveraging Machine-Learning Over 8500 Thoroughly Randomized Full C-Band Systems

Zefreh

Forghieri

Piciaccia

et al. 2020

J. Lightwave Technol.

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We derived an approximate non-linear interference (NLI) closed-form model (CFM), capable of handling a very broad range of optical WDM system scenarios. We tested the CFM over 8500 randomized C-band WDM systems, of which 6250 were fully-loaded and 2250 were partially loaded. The systems had highly diversified channel formats, symbol rates, fibers, as well as other parameters. We improved the CFM accuracy by augmenting the formula with simple machine-learning factors, optimized by leveraging the system test-set. We further improved the CFM by adding a term which models special situations where NLI has high self-coherence. In the end, we obtained a very good match with the results found using the numerically-integrated Enhanced GN-model (or EGN-model). We also checked the CFM accuracy by comparing its predictions with full-C-Band splitstep simulations of 300 randomized systems. The combined high accuracy and very fast computation time (milliseconds) of the CFM potentially make it an effective tool for real-time physicallayer-aware optical network management and control.

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Section: Ongoing Researchmentioning

confidence: 99%

Accurate Closed-Form Real-Time EGN Model Formula Leveraging Machine-Learning Over 8500 Thoroughly Randomized Full C-Band Systems

Zefreh

Forghieri

Piciaccia

et al. 2020

J. Lightwave Technol.

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“…Proof. Since the values of the fiber attributes a k , β 2 k , and γ k are different for different fiber segments but constant within each segment, we break up the integration interval in (21) into N f subintervals of width s k . More specifically, we partition the z axis with a sequence of N f +1 points z 0 , .…”

Section: F Investigation Of the Fwm Termmentioning

confidence: 99%

“…To calculate X ij (N s s ), we start from (21), break up the integration interval into subintervals of width s , and use the periodicity of (43a)-(43c) and (44) to obtain…”

Section: F Investigation Of the Fwm Termmentioning

confidence: 99%

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Revisiting the nonlinear Gaussian noise model: The case of hybrid fiber spans

Roudas,

Kwapisz,

Jiang

2020

Preprint

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We rederive from first principles and generalize the theoretical framework of the nonlinear Gaussian noise model to the case of coherent optical systems with multiple fiber types per span and ideal Nyquist spectra. We focus on the accurate numerical evaluation of the integral for the nonlinear noise variance for hybrid fiber spans. This task consists in addressing four computational aspects: (i) Adopting a novel transformation of variables (other than using hyperbolic coordinates) that changes the integrand to a more appropriate form for numerical quadrature; (ii) Evaluating analytically the integral at its lower limit, where the integrand presents a singularity; (iii) Dividing the interval of integration into subintervals of size π and approximating the integral in each subinterval by using various algorithms; and (iv) Deriving an upper bound for the relative error when the interval of integration is truncated in order to accelerate computation.We apply the proposed model to coherent optical communications systems with hybrid fiber spans composed of quasi-singlemode fiber and single-mode fiber segments. The accuracy of the final analytical relationship for the nonlinear noise variance in long-haul coherent optical communications systems with hybrid fiber spans is checked using the split-step Fourier method and Monte Carlo simulation. It is shown to be adequate to within 0.1 dBQ for the determination of the optimal fiber segment lengths per span that maximize system performance.

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A closed-form approximate incoherent GN-model supporting MCI contributions

Cited by 2 publications

References 0 publications

Accurate Closed-Form Real-Time EGN Model Formula Leveraging Machine-Learning Over 8500 Thoroughly Randomized Full C-Band Systems

Accurate Closed-Form Real-Time EGN Model Formula Leveraging Machine-Learning Over 8500 Thoroughly Randomized Full C-Band Systems

Revisiting the nonlinear Gaussian noise model: The case of hybrid fiber spans

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